Spinal Cord Injury

Spinal cord injury (SCI) research focuses on improving diagnosis, treatment, and rehabilitation outcomes. Current efforts utilize advanced imaging techniques (MRI, ultrasound) and machine learning algorithms (e.g., YOLOv8, DeepLabv3, reinforcement learning) for automated lesion segmentation, functional assessment (hand grasp analysis via video), and personalized treatment planning. These advancements aim to provide objective, efficient tools for clinicians, leading to more accurate diagnosis, tailored interventions, and improved quality of life for individuals with SCI. The development of assistive technologies, such as robotic hand orthoses and torso stabilizers, further enhances rehabilitation and independence.